- Researchers from the UK and US developed artificial intelligence that can diagnose COVID-19 by associating a set of parameters and self-reported symptoms with the help of a mobile app.
- The researchers found four symptoms indicative of a likely infection with the novel coronavirus, including loss of smell or taste, severe or persistent cough, fatigue, and skipping meals.
- Such a tool could supplement the lack of COVID-19 testing in certain communities looking to ease restrictions, but the method might have limitations.
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Aggressive testing and contact tracing have helped many countries contain their novel coronavirus outbreaks over the past few months, proving that the virus can be fought. Countries that failed to speed up testing and tracing ended up with massive caseloads and an increasing number of victims.
The virus isn’t going to disappear until some degree of herd immunity is acquired. That happens either by surviving COVID-19 or getting vaccinated. Additional waves are expected in the near future, which is why opening up the economy isn’t an easy task for any government. Several measures will have to be implemented to ensure the fast discovery of new cases so that potential outbreaks can be stopped early on. That’s where artificial intelligence (AI) might help, as a new study says computer models can interpret self-reported symptoms and predict the likelihood of a person having COVID-19.
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AI might soon be able to diagnose coronavirus based on symptoms originally appeared on BGR.com on Tue, 12 May 2020 at 15:28:04 EDT. Please see our terms for use of feeds.
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